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车路协同环境下干线交叉口货车车速引导模型研究 被引量:1

Research on Speed Guidance Model of Truck at Arterial Intersections Under Environment of Vehicle Road Coordination
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摘要 针对现有车速引导模型不适用于货车车速引导的情况,研究了考虑换挡操作的货车车速引导模型。首先,根据汽车动力性换挡模型求得货车换挡速度与加速度限值,同时对货车时空运动轨迹进行分析,共同建立货车车速引导模型约束条件;然后,建立行程总时间最短的目标函数;最后,对建立的线性规划模型进行求解,以货车行驶时间和最终车速为控制变量,以总行程时间最短为目标求得行程时间最优的驾驶轨迹。以5挡位货车JN162为测试主体,利用Matlab开展的算例分析表明:与不采用车速引导模型相比,采用车速引导模型可以降低行程总时间,对划分的不同挡位引导场景而言,1、2、3挡初速度进入引导区的货车可以降低61%~80%行程总时间,4、5挡进入引导区的货车可以降低6%~27%行程总时间,同时减少货车在交叉口停车次数,为货车智能驾驶提供理论参考。 Logistics industry is developing rapidly in recent years,the truck has gradually become the vital forces facilitating the development of the logistics industry trucks continue to develop towards the direction of large scale and heavy load in recent years.And compared with cars and buses,when the truck needs to face the change of the junction traffic light,the truck often needs to spend more time and travel longer distance to accelerate and decelerate,this will lead to more traffic delays and air pollution.At the same time,it will also have a negative impact on the service life of the truck itself and the stability of road structure.Considering that the speed guidance model for existing vehicles is not applicable to the speed guidance of the truck.In this paper,a vehicle speed guidance model for truck considering shift operation is studied.In the first place,the limit values of gear shifting speed and acceleration of the truck are obtained according to the dynamic shifting model of automobiles.at the same time,on the basis of obtaining intersection signal timing,the spatial temporal trajectory of the truck is analyzed,and the constraint conditions of the truck speed guidance model are established jointly.After that,the objective function with the shortest total travel time is established.In the end,the established linear programming model is solved,and the optimal driving trajectory of travel time is obtained by taking thetruck travel time and the final speed as control variables,taking the total travel time as the goal.Taking the 5-gear truck jn162 as the test subject,an example is carried out by using Matlab.The results show that the total travel time can be significantly reduced by using the speed guidance model compared with that without using the speed guidance model.For different gear guidance scenarios,the total travel time can be reduced by 61%~80%for the trucks with the initial speed of 1st,2nd and 3rd gear entering the guidance area,and the total travel time can be reduced by 61%~80%for the trucks with the initial speed of 4th and 5th gear entering the guidance area.The total travel time can be reduced by 6%~27%,reduce the number of stops of trucks at intersections,and provide a theoretical basis for intelligent driving of the truck.
作者 张鹏 王扶春 李文权 ZHANG Peng;WANG Fuchun;LI Wenquan(School of Automobile and Traffic Engineering,Jiangsu University,Zhenjiang 212013,China;School of Transportation,Southeast University,Nanjing 210096,China)
出处 《重庆理工大学学报(自然科学)》 CAS 北大核心 2021年第10期16-22,共7页 Journal of Chongqing University of Technology:Natural Science
基金 国家自然科学基金项目(71801115) 江苏省高校自然科学基金项目(13KJB580003) 江苏大学高级专业人才科研启动基金项目(12JDG056)。
关键词 智能交通 车速引导 换挡操作 货车 干线交叉口 intelligent transportation speed guidance shifting operation truck arterial intersection
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  • 1王家主,吴少鹏.沥青路面车辙影响因素的研究[J].武汉理工大学学报(交通科学与工程版),2006,30(3):463-466. 被引量:23
  • 2罗亮红.基于ZIGBEE的车路协同关键技术研究[D].广州:华南理工大学,12-15.
  • 3王云鹏.智能车路协调系统[C]//第三届智能交通科技论坛.湖北,武汉:武汉理工大学,2010.
  • 4Vehicle Infrastructure Integration(VII) Version1. 3.1 [R]. Washington, DC.. ITS Joint Program Office US Department of Transportation, April, 2008.
  • 5柯亮宇.无线行动通讯明日之星一车载无线通讯发烧.[EB/0L].(2009-6-i0)[2010-8-30].http://www.artc.org.tw/chinese/03-service/03-02detail.aspx?pid=39.2010.
  • 6Ashwin Amanna . Overview of IntelliDrive / Vehicle Infrastructure Integration (Ⅶ) [R]. Virginia: Virginia Tech transportation institute,2009.
  • 7王笑京.智能交通与道路交通安全一发展动态及建设[C]//第四届中国智能交通年会,青岛:全国智能交通系统协调指导小组,2008.
  • 8Michael Chapman. Using Vehicle Probe Data to Diagnose Road Weather Conditions-Results from the Detroit IntelliDriveSM [C]// Washington, D. C , State Transportation Departments, TRB 2010 Annual Meeting. 2010 : 1-16.
  • 9Brain Smith. IntelliDriveSM Traffic Signal Control Algorithms[R]. Virginia :University of Virginia, 2010.
  • 10Hyungjun Park,Brain L. Smith. Investigating Benefits of IntelliDriveSM in Freeway Operation-Lane Changing Advisory Case Study [R]. TRB 2010 Annual Meeting , Washington D. C : State Transportation Departments. 2010.

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